Numerical Investigation of Mixing Performance for a Vertical Turbulence Mixer

Author:

Ya MAO,Zhang Di,Xiong FAN,Lv Yinlei,Chen Zuobing

Abstract

Abstract In this work, discrete element method (DEM) was employed to analyze mixing performance of a vertical turbulence mixer. The lacey mixing index was used to quantify mixing degree while a mixing rate was proposed to evaluate mixing speed. Several typical structural and operating parameters affecting mixing performance was investigated including initial loading pattern, rotational speed of stirring shaft and filling level. Results showed that mixing of top-bottom loading is faster than that of side-side loading. Comparing with another factor, stirring shaft rotating speed and filling level had more significant influence. A nearly linear growth and an almost linear decline relationships with mixing rate was found for the rotary speed and filling level respectively. A higher rotational speed or a lower filling level could help form a more intensive granular turbulent flow, resulting in faster mixing. Application of this work provides instruction to optimization of geometry and parameters of mixing systems to improve the quality of the mixing process.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference16 articles.

1. Mixing characteristics of wet granular matter in a bladed mixer;Radl;owder Technol,2010

2. Powder mixing: Some practical rules applied to agitated systems;Poux;Powder Technology,1991

3. Granular flow and segregation in a four-bladed mixer;Conway;Chem Eng Sci,2005

4. Measurement of the velocity field and frictional properties of wet masses in a high shear mixer;Darelius;Chemical Engineering Science,2007

5. Characterization of granular flow of wet solids in a bladed mixer;Lekhal;Aiche Journal,2006

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3